DiscFace: Minimum Discrepancy Learning for Deep Face Recognition. - Insoo Kim; Seungju Han 001; Seong-Jin Park; Ji-Won Baek; Jinwoo Shin; Jae-Joon Han; Changkyu Choi (ACCV (5), 2020)

Meta Variance Transfer: Learning to Augment from the Others. - Seong-Jin Park; Seungju Han 001; Ji-Won Baek; Insoo Kim; Juhwan Song; Haebeom Lee; Jae-Joon Han; Sung Ju Hwang (ICML, 2020)

Context Deep Neural Network Model for Predicting Depression Risk Using Multiple Regression. - Ji-Won Baek; Kyungyong Chung (IEEE Access, 2020)

PrefixSpan Based Pattern Mining Using Time Sliding Weight From Streaming Data. - Ji-Soo Kang; Ji-Won Baek; Kyungyong Chung (IEEE Access, 2020)

Quality-Agnostic Image Recognition via Invertible Decoder. - Insoo Kim; Seungju Han 001; Ji-Won Baek; Seong-Jin Park; Jae-Joon Han; Jinwoo Shin (CVPR, 2021)

Multi-Level Health Knowledge Mining Process in P2P Edge Network. - Ji-Won Baek; Kyungyong Chung (IEEE Access, 2021)

Associative Knowledge Graph Using Fuzzy Clustering and Min-Max Normalization in Video Contents. - Hyun-Jin Kim; Ji-Won Baek; Kyungyong Chung (IEEE Access, 2021)

CNN-Based Voice Emotion Classification Model for Risk Detection. - Hyun Yoo; Ji-Won Baek; Kyungyong Chung (Intell. Autom. Soft Comput., 2021)

Multimedia recommendation using Word2Vec-based social relationship mining. - Ji-Won Baek; Kyung-Yong Chung (Multim. Tools Appl., 2021)

Dimensional Expansion and Time-Series Data Augmentation Policy for Skeleton-Based Pose Estimation. - Sung-Soo Park; Hye-Jeong Kwon; Ji-Won Baek; Kyungyong Chung (IEEE Access, 2022)

Voice Frequency Synthesis using VAW-GAN based Amplitude Scaling for Emotion Transformation. - Hye-Jeong Kwon; Min-Jeong Kim; Ji-Won Baek; Kyungyong Chung (KSII Trans. Internet Inf. Syst., 2022)

CNN-based health model using knowledge mining of influencing factors. - Ji-Won Baek; Kyungyong Chung (Pers. Ubiquitous Comput., 2022)

Rethinking Feature-based Knowledge Distillation for Face Recognition. - Jingzhi Li 004; Zidong Guo; Hui Li; Seungju Han 001; Ji-Won Baek; Min Yang; Ran Yang; Sungjoo Suh (CVPR, 2023)

Sample-wise Label Confidence Incorporation for Learning with Noisy Labels. - Chanho Ahn; Kikyung Kim; Ji-Won Baek; Jongin Lim 002; Seungju Han 001 (ICCV, 2023)

Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks. - Ji-Won Baek; Kyungyong Chung (IEEE Access, 2023)

Accident risk prediction model based on attention-mechanism LSTM using modality convergence in multimodal. - Ji-Won Baek; Kyungyong Chung (Pers. Ubiquitous Comput., 2023)

Captioning model based on meta-learning using prior-convergence knowledge for explainable images. - Ji-Won Baek; Kyungyong Chung (Pers. Ubiquitous Comput., 2023)

Deep Reinforcement Learning for Setup and Tardiness Minimization in Parallel Machine Scheduling. - So Hyun Nam; Ji-Won Baek; Young In Cho; Jong Hun Woo (WSC, 2024)

Meta Learning based Object Tracking Technology: A Survey. - Ji-Won Baek; Kyungyong Chung (KSII Trans. Internet Inf. Syst., 2024)

RUBI: Relative-Urgency Based Initialization for Solving Job Shop Scheduling Problem. - Jiwon Baek; Hyunjin Oh; Jong Hun Woo (APMS (6), 2025)

Feasibility Study on the Interactive AI Scheduling with LLM Technology for Human-Centric Industry 5.0. - Hyun-Jin Oh; Ji-Won Baek; Ki Young Cho; Jong Hun Woo (APMS (1), 2025)

Scene graph optimization using hyperedge-based relationship extraction. - Ji-Won Baek; Kyungyong Chung (Appl. Soft Comput., 2026)

Framework for state features design in job shop scheduling with deep reinforcement learning: Beyond empirical approaches. - Seung Heon Oh; Young-in Cho; Hyunjin Oh; Ji-Won Baek; Seung-Woo Han; Jong Hun Woo (J. Comput. Des. Eng., 2026)

Variational Approach for Job Shop Scheduling. - Seung Heon Oh; Ji-Won Baek; Ki Young Cho; Hee Chang Yoon; Jong Hun Woo (CoRR, 2026)